most citedFiltering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks

36 citations · 49 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SY2024★ 13 cited

Quadratic estimation for stochastic systems in the presence of random parameter matrices, time-correlated additive noise and deception attacks

Raquel Caballero-Águila, Josefa Linares-Pérez

Networked systems usually face different random uncertainties that make the performance of the least-squares (LS) linear filter decline significantly. For this reason, great attent…

eess.SP2024★ 36 cited

Filtering and smoothing estimation algorithms from uncertain nonlinear observations with time-correlated additive noise and random deception attacks

R. Caballero-Águila, J. Hu, J. Linares-Pérez

This paper discusses the problem of estimating a stochastic signal from nonlinear uncertain observations with time-correlated additive noise described by a first-order Markov proce…